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Consider the same setup as in Problem 2. In this problem we use the fully implicit method to compute the prices of American put options.

Consider the same setup as in Problem 2. In this problem we use the fully implicit method to compute the prices of American put options.

(a) Use a forward difference for time-derivatives and a centered difference for space-derivatives to show that the finite-difference equation at node (tm,xn) can be written as

where

(?+?)u ?m +(1?2?)u ?m +(??+?)u ?m

=u ?m+1, n

n+1

n

n?1

?2 ?t ? = ??r ? ?

?2 2 (?x)

2 2?x

,

? = ?

?t

2 .

(b) The equation above for n = N ? 1 and n = ?N + 1 involves the boundary values umN and um?N . Reasonable boundary conditions for a put option are vs(t,s) = 0 as s ? ? and vs(t,s) ? ?1 for s ? 0. For u(t,x), these conditions translate to

umN = umN?1, um?N = um?N+1 + (?x)e?rtm eX?N . Use this to rewrite the finite-difference equations for n = N ? 1 and n = ?N + 1 and show that all the equations

can be written in matrix form as where C is a tridiagonal matrix,

Cu ?m = bm+1,

?1+??? ??+? ? ?+? 1?2? ??+?

? ?+? 1?2? ??+? ? ?.?

C = ? ??

and bm+1 is a column vector given by bm+1 = [u ?m+1, u ?m+1, . . . , u ?m+1

(c) Optional (extra credit): Argue that for small ?t and ?x, the matrix C is diagonally dominant. It is known that such matrices are invertible, which ensures that the system Cu ?m = bm+1 has a unique solution. Hint: Use that for small ?t and ?x, ? is much larger than ? in absolute value.

(d) Solve the system of equations using Thomas' algorithm (LU-decomposition) and report your option price results in the same way as in Problem 1, using the same parameter values. Consider values of ? larger than 0.5 and see whether the prices remain accurate.

Note: if boundary conditions are used, the upper and lower boundaries of your grid need to be larger than ln(16) and ln(4). This is because the boundary conditions should be imposed for extreme values.

image text in transcribed
Problem 3. Implicit methods. Consider the same setup as in Problem 2. In this problem we use the fully implicit method to compute the prices of American put options. (a) Use a forward difference for time-derivatives and a centered difference for space derivatives to show that the finite difference equation at node (tm, 2) can be written as (a+ Ajit+ (1-20)0" + (-a+ 8jun=us, where 8 = - 2 (dr)2 (b) The equation above for n = N - 1 and n = -N + 1 involves the boundary values w// and umy. Reasonable boundary conditions for a put option are v, (t, s) = 0 as s -+ co and v.(f, s) + -1 for s + 0. For u(t, x), these conditions translate to # = UN-1 4" = 4"N+1+ (6zje meX-N. Use this to rewrite the finite difference equations for n = NV -1 and n = -A + 1 and show that all the equations can be written in matrix form as where U is a tridiagonal matrix, -a+ 8 1 - 28 1 - 24 -a+8 C= 1- 28 -a+ 8 1-a-8 and 67+ is a column vector given by (c) Optional {extra credit): Argue that for small of and or, the matrix C' is diagonally dominant. It is known that such matrices are invertible, which ensures that the system ('s" = Bill has a unique solution. Hint: Use that for small of and dr, p is much larger than a in absolute value. (d) Solve the system of equations using Thomas' algorithm (LU-decomposition) and report your option price results in the same way as in Problem 1, using the same parameter values. Consider values of a larger than 0.5 and see whether the prices remain accurate. Note: if boundary conditions are used, the upper and lower boundaries of your grid need to be larger than In(16) and In(4). This is because the boundary conditions should be imposed for extreme values

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